Accession Number : ADA130248

Title :   Optimal Sampling in Selection Problems.

Descriptive Note : Technical rept.,

Corporate Author : PURDUE UNIV LAFAYETTE IN DEPT OF STATISTICS

Personal Author(s) : Gupta,Shanti S

PDF Url : ADA130248

Report Date : Jun 1983

Pagination or Media Count : 14

Abstract : This paper describes several optimal sampling problems that arise in connection with selection and ranking procedures. A selection procedure typically consists of three ingredients: (1) a sampling rule, (2) a stopping rule, and (3) a decision rule, though these components are not usually explicitly so labeled. The problem of optimal sampling arises in different ways depending on the context of the problem at hand. Broadly speaking, the problem of optimal (or optimum) sampling arises because of the need for balancing between the cost of sampling and the cost of making a wrong decision. Obviously, increasing the amount of sampling increases the former cost while decreasing the latter.

Descriptors :   *Sampling, *Population(Mathematics), *Selection, Problem solving, Minimax technique, Ranking, Optimization, Decision making, Parameters, Configurations, Costs

Subject Categories : Statistics and Probability

Distribution Statement : APPROVED FOR PUBLIC RELEASE